Overview

Dataset statistics

Number of variables26
Number of observations179
Missing cells25
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.5 KiB
Average record size in memory208.7 B

Variable types

NUM21
CAT3
BOOL2

Warnings

Num_calls_Cuscare has constant value "179" Constant
Num_of_payments is highly correlated with Total_BillsHigh correlation
Total_Bills is highly correlated with Num_of_paymentsHigh correlation
Mean_Mthly_Paid_last6mth is highly correlated with Mean_Mthly_Paid and 1 other fieldsHigh correlation
Mean_Mthly_Paid is highly correlated with Mean_Mthly_Paid_last6mthHigh correlation
Total_Paid_last6mth is highly correlated with Mean_Mthly_Paid_last6mthHigh correlation
Num_Payments_last6mth is highly correlated with Total_Bills_last6mth and 1 other fieldsHigh correlation
Total_Bills_last6mth is highly correlated with Num_Payments_last6mth and 1 other fieldsHigh correlation
Delayed_Partial_Payments_last6mth is highly correlated with Total_Bills_last6mth and 1 other fieldsHigh correlation
avg_Data_last6mth is highly correlated with avg_DataHigh correlation
avg_Data is highly correlated with avg_Data_last6mthHigh correlation
Age has 9 (5.0%) missing values Missing
LocID has 3 (1.7%) missing values Missing
Mean_Mthly_Paid has 2 (1.1%) missing values Missing
Mean_Mthly_Paid_last6mth has 3 (1.7%) missing values Missing
ttl_Data has 2 (1.1%) missing values Missing
Cust_id has unique values Unique
avg_Data_last6mth has unique values Unique
avg_online_days has unique values Unique
Timely_full_payments has 4 (2.2%) zeros Zeros
Timely_Full_Payments_last6mth has 7 (3.9%) zeros Zeros
Delayed_Partial_Payments_last6mth has 61 (34.1%) zeros Zeros

Reproduction

Analysis started2021-01-20 06:33:29.649982
Analysis finished2021-01-20 06:36:05.182388
Duration2 minutes and 35.53 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

Cust_id
Real number (ℝ≥0)

UNIQUE

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90
Minimum1
Maximum179
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:05.546802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.9
Q145.5
median90
Q3134.5
95-th percentile170.1
Maximum179
Range178
Interquartile range (IQR)89

Descriptive statistics

Standard deviation51.81698563
Coefficient of variation (CV)0.5757442848
Kurtosis-1.2
Mean90
Median Absolute Deviation (MAD)45
Skewness0
Sum16110
Variance2685
MonotocityStrictly increasing
2021-01-20T01:36:05.942180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
110.6%
 
13510.6%
 
11510.6%
 
11610.6%
 
11710.6%
 
11810.6%
 
11910.6%
 
12010.6%
 
12110.6%
 
12210.6%
 
Other values (169)16994.4%
 
ValueCountFrequency (%) 
110.6%
 
210.6%
 
310.6%
 
410.6%
 
510.6%
 
ValueCountFrequency (%) 
17910.6%
 
17810.6%
 
17710.6%
 
17610.6%
 
17510.6%
 

Age
Real number (ℝ≥0)

MISSING

Distinct43
Distinct (%)25.3%
Missing9
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean36.50588235
Minimum19
Maximum75
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:06.464638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile20.45
Q126
median33
Q346
95-th percentile58
Maximum75
Range56
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.98713385
Coefficient of variation (CV)0.3557545528
Kurtosis-0.08207201354
Mean36.50588235
Median Absolute Deviation (MAD)9
Skewness0.7383578214
Sum6206
Variance168.6656457
MonotocityNot monotonic
2021-01-20T01:36:06.876181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
2484.5%
 
3284.5%
 
2684.5%
 
2184.5%
 
3873.9%
 
4873.9%
 
2773.9%
 
2073.9%
 
2563.4%
 
4663.4%
 
Other values (33)9854.7%
 
(Missing)95.0%
 
ValueCountFrequency (%) 
1921.1%
 
2073.9%
 
2184.5%
 
2252.8%
 
2352.8%
 
ValueCountFrequency (%) 
7510.6%
 
7310.6%
 
7021.1%
 
6910.6%
 
6710.6%
 

LocID
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)8.0%
Missing3
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean237.7215909
Minimum231
Maximum265
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:07.364074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum231
5-th percentile231
Q1232
median237
Q3240
95-th percentile249.25
Maximum265
Range34
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.515833935
Coefficient of variation (CV)0.03161611828
Kurtosis6.391939252
Mean237.7215909
Median Absolute Deviation (MAD)4.5
Skewness2.349974308
Sum41839
Variance56.48775974
MonotocityNot monotonic
2021-01-20T01:36:07.678476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
2313419.0%
 
2382413.4%
 
2422011.2%
 
232158.4%
 
237158.4%
 
236158.4%
 
244105.6%
 
23595.0%
 
26595.0%
 
23495.0%
 
Other values (4)168.9%
 
ValueCountFrequency (%) 
2313419.0%
 
232158.4%
 
23342.2%
 
23495.0%
 
23595.0%
 
ValueCountFrequency (%) 
26595.0%
 
244105.6%
 
2422011.2%
 
24121.1%
 
24084.5%
 

GenID
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
101 
2
78 
ValueCountFrequency (%) 
110156.4%
 
27843.6%
 
2021-01-20T01:36:08.035722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-01-20T01:36:08.275735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:36:08.552845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

RaceID
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
100 
2
50 
3
15 
4
14 
ValueCountFrequency (%) 
110055.9%
 
25027.9%
 
3158.4%
 
4147.8%
 
2021-01-20T01:36:08.914853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-01-20T01:36:09.141256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:36:09.458906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

PkgID
Real number (ℝ≥0)

Distinct34
Distinct (%)19.1%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean123.5674157
Minimum1
Maximum273
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:09.818372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q110
median197
Q3227
95-th percentile227
Maximum273
Range272
Interquartile range (IQR)217

Descriptive statistics

Standard deviation101.1814305
Coefficient of variation (CV)0.8188358546
Kurtosis-1.900285423
Mean123.5674157
Median Absolute Deviation (MAD)57
Skewness-0.08845522706
Sum21995
Variance10237.68187
MonotocityNot monotonic
2021-01-20T01:36:10.156654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
2275329.6%
 
1972312.8%
 
101910.6%
 
9158.4%
 
663.4%
 
1163.4%
 
1452.8%
 
8952.8%
 
4542.2%
 
542.2%
 
Other values (24)3821.2%
 
ValueCountFrequency (%) 
110.6%
 
310.6%
 
542.2%
 
663.4%
 
710.6%
 
ValueCountFrequency (%) 
27310.6%
 
26010.6%
 
25421.1%
 
2275329.6%
 
22431.7%
 

CusCare_flag
Categorical

Distinct1
Distinct (%)0.6%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
No
178 
ValueCountFrequency (%) 
No17899.4%
 
(Missing)10.6%
 
2021-01-20T01:36:10.509974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-01-20T01:36:10.707468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:36:10.986269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length2.005586592
Min length2

Num_calls_Cuscare
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
179 
ValueCountFrequency (%) 
0179100.0%
 
2021-01-20T01:36:11.222949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

BillCycle_ID
Real number (ℝ≥0)

Distinct10
Distinct (%)5.6%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean4.758426966
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:11.432537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.556273284
Coefficient of variation (CV)0.5372097339
Kurtosis-0.8169690084
Mean4.758426966
Median Absolute Deviation (MAD)2
Skewness0.2379863144
Sum847
Variance6.534533105
MonotocityNot monotonic
2021-01-20T01:36:11.692199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
52715.1%
 
42413.4%
 
72312.8%
 
12312.8%
 
21910.6%
 
61910.6%
 
31810.1%
 
9126.7%
 
1073.9%
 
863.4%
 
(Missing)10.6%
 
ValueCountFrequency (%) 
12312.8%
 
21910.6%
 
31810.1%
 
42413.4%
 
52715.1%
 
ValueCountFrequency (%) 
1073.9%
 
9126.7%
 
863.4%
 
72312.8%
 
61910.6%
 

Mean_Mthly_Paid
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct176
Distinct (%)99.4%
Missing2
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean94.36887006
Minimum48.4
Maximum213.75
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:12.097297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum48.4
5-th percentile59.486
Q174.77
median91.67
Q3107.03
95-th percentile142.04
Maximum213.75
Range165.35
Interquartile range (IQR)32.26

Descriptive statistics

Standard deviation27.46762743
Coefficient of variation (CV)0.2910666135
Kurtosis3.065647596
Mean94.36887006
Median Absolute Deviation (MAD)16.5
Skewness1.205964951
Sum16703.29
Variance754.4705567
MonotocityNot monotonic
2021-01-20T01:36:12.487572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
84.4821.1%
 
75.1510.6%
 
100.8210.6%
 
114.7510.6%
 
93.2510.6%
 
141.810.6%
 
93.9210.6%
 
89.8910.6%
 
110.9410.6%
 
63.1510.6%
 
Other values (166)16692.7%
 
(Missing)21.1%
 
ValueCountFrequency (%) 
48.410.6%
 
50.0710.6%
 
51.7910.6%
 
51.9310.6%
 
52.2810.6%
 
ValueCountFrequency (%) 
213.7510.6%
 
213.5610.6%
 
174.0110.6%
 
161.7310.6%
 
152.9510.6%
 

Total_Bills
Real number (ℝ≥0)

HIGH CORRELATION

Distinct39
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.53072626
Minimum3
Maximum58
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:12.828220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median14
Q323
95-th percentile36
Maximum58
Range55
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.40164772
Coefficient of variation (CV)0.6292311396
Kurtosis1.435936869
Mean16.53072626
Median Absolute Deviation (MAD)7
Skewness1.111773414
Sum2959
Variance108.1942753
MonotocityNot monotonic
2021-01-20T01:36:13.106544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
6147.8%
 
5116.1%
 
11116.1%
 
7105.6%
 
995.0%
 
1295.0%
 
1384.5%
 
2463.4%
 
1063.4%
 
2063.4%
 
Other values (29)8949.7%
 
ValueCountFrequency (%) 
321.1%
 
452.8%
 
5116.1%
 
6147.8%
 
7105.6%
 
ValueCountFrequency (%) 
5810.6%
 
5610.6%
 
4210.6%
 
4021.1%
 
3910.6%
 

Num_of_payments
Real number (ℝ≥0)

HIGH CORRELATION

Distinct39
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.53072626
Minimum3
Maximum58
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:13.464304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median14
Q323
95-th percentile36
Maximum58
Range55
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.40164772
Coefficient of variation (CV)0.6292311396
Kurtosis1.435936869
Mean16.53072626
Median Absolute Deviation (MAD)7
Skewness1.111773414
Sum2959
Variance108.1942753
MonotocityNot monotonic
2021-01-20T01:36:13.785083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
6147.8%
 
5116.1%
 
11116.1%
 
7105.6%
 
995.0%
 
1295.0%
 
1384.5%
 
2463.4%
 
1063.4%
 
2063.4%
 
Other values (29)8949.7%
 
ValueCountFrequency (%) 
321.1%
 
452.8%
 
5116.1%
 
6147.8%
 
7105.6%
 
ValueCountFrequency (%) 
5810.6%
 
5610.6%
 
4210.6%
 
4021.1%
 
3910.6%
 

Timely_full_payments
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.687150838
Minimum0
Maximum36
Zeros4
Zeros (%)2.2%
Memory size1.4 KiB
2021-01-20T01:36:14.168103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q313
95-th percentile23.1
Maximum36
Range36
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.481242629
Coefficient of variation (CV)0.7722851388
Kurtosis2.036852929
Mean9.687150838
Median Absolute Deviation (MAD)4
Skewness1.408672776
Sum1734
Variance55.96899127
MonotocityNot monotonic
2021-01-20T01:36:14.563506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
31910.6%
 
4158.4%
 
6147.8%
 
9147.8%
 
5137.3%
 
7116.1%
 
895.0%
 
1095.0%
 
1184.5%
 
2063.4%
 
Other values (21)6134.1%
 
ValueCountFrequency (%) 
042.2%
 
163.4%
 
252.8%
 
31910.6%
 
4158.4%
 
ValueCountFrequency (%) 
3610.6%
 
3510.6%
 
3421.1%
 
3310.6%
 
3110.6%
 

Delayed_Partial_Payments
Real number (ℝ≥0)

Distinct25
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.843575419
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:14.861170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q38
95-th percentile22.2
Maximum55
Range54
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.66563179
Coefficient of variation (CV)1.12012089
Kurtosis11.00628776
Mean6.843575419
Median Absolute Deviation (MAD)2
Skewness2.867689194
Sum1225
Variance58.76191074
MonotocityNot monotonic
2021-01-20T01:36:15.160096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
22916.2%
 
32413.4%
 
12212.3%
 
42011.2%
 
5137.3%
 
6126.7%
 
795.0%
 
1095.0%
 
873.9%
 
1252.8%
 
Other values (15)2916.2%
 
ValueCountFrequency (%) 
12212.3%
 
22916.2%
 
32413.4%
 
42011.2%
 
5137.3%
 
ValueCountFrequency (%) 
5510.6%
 
3610.6%
 
3521.1%
 
2910.6%
 
2710.6%
 

Total_Paid_last6mth
Real number (ℝ≥0)

HIGH CORRELATION

Distinct156
Distinct (%)87.6%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean523.6611236
Minimum244.08
Maximum1174.5
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:15.534882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum244.08
5-th percentile304.195
Q1421
median500.375
Q3593.375
95-th percentile818.872
Maximum1174.5
Range930.42
Interquartile range (IQR)172.375

Descriptive statistics

Standard deviation162.7581175
Coefficient of variation (CV)0.3108080975
Kurtosis2.853567191
Mean523.6611236
Median Absolute Deviation (MAD)82
Skewness1.318148157
Sum93211.68
Variance26490.20483
MonotocityNot monotonic
2021-01-20T01:36:15.930227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
402.652.8%
 
502.531.7%
 
566.131.7%
 
432.631.7%
 
447.4321.1%
 
305.421.1%
 
50021.1%
 
43221.1%
 
49021.1%
 
64721.1%
 
Other values (146)15284.9%
 
ValueCountFrequency (%) 
244.0810.6%
 
255.410.6%
 
261.0510.6%
 
268.8810.6%
 
277.9510.6%
 
ValueCountFrequency (%) 
1174.510.6%
 
116410.6%
 
1044.0310.6%
 
100910.6%
 
100210.6%
 

Mean_Mthly_Paid_last6mth
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct158
Distinct (%)89.8%
Missing3
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean91.92340909
Minimum42.57
Maximum213.75
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:16.326739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum42.57
5-th percentile52.055
Q171.585
median87.405
Q3107.915
95-th percentile144.385
Maximum213.75
Range171.18
Interquartile range (IQR)36.33

Descriptive statistics

Standard deviation29.39991518
Coefficient of variation (CV)0.3198305575
Kurtosis2.486447708
Mean91.92340909
Median Absolute Deviation (MAD)17.48
Skewness1.250733505
Sum16178.52
Variance864.3550123
MonotocityNot monotonic
2021-01-20T01:36:16.701764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
67.152.8%
 
83.7531.7%
 
72.131.7%
 
94.3531.7%
 
7221.1%
 
11021.1%
 
65.1321.1%
 
94.3321.1%
 
110.0821.1%
 
69.7521.1%
 
Other values (148)15083.8%
 
(Missing)31.7%
 
ValueCountFrequency (%) 
42.5710.6%
 
43.5110.6%
 
46.3310.6%
 
47.5710.6%
 
47.610.6%
 
ValueCountFrequency (%) 
213.7510.6%
 
195.7510.6%
 
19410.6%
 
174.0110.6%
 
168.1710.6%
 

Total_Bills_last6mth
Real number (ℝ≥0)

HIGH CORRELATION

Distinct15
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.346368715
Minimum3
Maximum20
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:17.067389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median6
Q37
95-th percentile12
Maximum20
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.949504948
Coefficient of variation (CV)0.4647547409
Kurtosis8.250044488
Mean6.346368715
Median Absolute Deviation (MAD)1
Skewness2.575858576
Sum1136
Variance8.699579436
MonotocityNot monotonic
2021-01-20T01:36:17.399383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
65631.3%
 
54022.3%
 
42312.8%
 
72111.7%
 
3116.1%
 
873.9%
 
1142.2%
 
931.7%
 
1031.7%
 
1231.7%
 
Other values (5)84.5%
 
ValueCountFrequency (%) 
3116.1%
 
42312.8%
 
54022.3%
 
65631.3%
 
72111.7%
 
ValueCountFrequency (%) 
2031.7%
 
1810.6%
 
1521.1%
 
1410.6%
 
1310.6%
 

Num_Payments_last6mth
Real number (ℝ≥0)

HIGH CORRELATION

Distinct15
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.346368715
Minimum3
Maximum20
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:17.710534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median6
Q37
95-th percentile12
Maximum20
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.949504948
Coefficient of variation (CV)0.4647547409
Kurtosis8.250044488
Mean6.346368715
Median Absolute Deviation (MAD)1
Skewness2.575858576
Sum1136
Variance8.699579436
MonotocityNot monotonic
2021-01-20T01:36:17.981809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
65631.3%
 
54022.3%
 
42312.8%
 
72111.7%
 
3116.1%
 
873.9%
 
1142.2%
 
931.7%
 
1031.7%
 
1231.7%
 
Other values (5)84.5%
 
ValueCountFrequency (%) 
3116.1%
 
42312.8%
 
54022.3%
 
65631.3%
 
72111.7%
 
ValueCountFrequency (%) 
2031.7%
 
1810.6%
 
1521.1%
 
1410.6%
 
1310.6%
 

Timely_Full_Payments_last6mth
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.955307263
Minimum0
Maximum7
Zeros7
Zeros (%)3.9%
Memory size1.4 KiB
2021-01-20T01:36:18.280385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.627782765
Coefficient of variation (CV)0.4115439477
Kurtosis-0.229093939
Mean3.955307263
Median Absolute Deviation (MAD)1
Skewness-0.5041761163
Sum708
Variance2.649676731
MonotocityNot monotonic
2021-01-20T01:36:18.539196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
44525.1%
 
63620.1%
 
33519.6%
 
53117.3%
 
2158.4%
 
184.5%
 
073.9%
 
721.1%
 
ValueCountFrequency (%) 
073.9%
 
184.5%
 
2158.4%
 
33519.6%
 
44525.1%
 
ValueCountFrequency (%) 
721.1%
 
63620.1%
 
53117.3%
 
44525.1%
 
33519.6%
 

Delayed_Partial_Payments_last6mth
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct17
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.391061453
Minimum0
Maximum20
Zeros61
Zeros (%)34.1%
Memory size1.4 KiB
2021-01-20T01:36:18.838697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile10
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.769053243
Coefficient of variation (CV)1.576309651
Kurtosis8.325083222
Mean2.391061453
Median Absolute Deviation (MAD)1
Skewness2.762801811
Sum428
Variance14.20576235
MonotocityNot monotonic
2021-01-20T01:36:19.127885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
06134.1%
 
13921.8%
 
23519.6%
 
3126.7%
 
484.5%
 
1063.4%
 
531.7%
 
631.7%
 
921.1%
 
821.1%
 
Other values (7)84.5%
 
ValueCountFrequency (%) 
06134.1%
 
13921.8%
 
23519.6%
 
3126.7%
 
484.5%
 
ValueCountFrequency (%) 
2021.1%
 
1910.6%
 
1710.6%
 
1510.6%
 
1410.6%
 

ttl_Data
Real number (ℝ≥0)

MISSING

Distinct177
Distinct (%)100.0%
Missing2
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean150330.8318
Minimum5065.09
Maximum854484.75
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:19.539686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5065.09
5-th percentile15604.876
Q148806.74
median107352.28
Q3166583.25
95-th percentile468332.15
Maximum854484.75
Range849419.66
Interquartile range (IQR)117776.51

Descriptive statistics

Standard deviation156184.8351
Coefficient of variation (CV)1.038940803
Kurtosis5.713148828
Mean150330.8318
Median Absolute Deviation (MAD)59230.97
Skewness2.253109386
Sum26608557.23
Variance2.43937027e+10
MonotocityNot monotonic
2021-01-20T01:36:19.892757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
112647.3610.6%
 
69359.1310.6%
 
134121.6210.6%
 
255797.3610.6%
 
23016.9410.6%
 
168506.210.6%
 
152169.3410.6%
 
64188.8310.6%
 
102205.1310.6%
 
30479.0510.6%
 
Other values (167)16793.3%
 
(Missing)21.1%
 
ValueCountFrequency (%) 
5065.0910.6%
 
6006.7410.6%
 
8392.1410.6%
 
8543.5510.6%
 
8580.1310.6%
 
ValueCountFrequency (%) 
854484.7510.6%
 
812471.6810.6%
 
744756.210.6%
 
694534.4410.6%
 
676699.1610.6%
 

avg_Data
Real number (ℝ≥0)

HIGH CORRELATION

Distinct178
Distinct (%)100.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean13221.78202
Minimum1067.94
Maximum68781.43
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:20.280663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1067.94
5-th percentile2011.6
Q14824.2975
median7468.375
Q316053.7575
95-th percentile44710.36
Maximum68781.43
Range67713.49
Interquartile range (IQR)11229.46

Descriptive statistics

Standard deviation13855.97624
Coefficient of variation (CV)1.047965865
Kurtosis3.470324762
Mean13221.78202
Median Absolute Deviation (MAD)3954.455
Skewness1.940895081
Sum2353477.2
Variance191988077.5
MonotocityNot monotonic
2021-01-20T01:36:20.651011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4919.1610.6%
 
3964.4710.6%
 
6327.5110.6%
 
2140.3510.6%
 
17659.4910.6%
 
58598.1710.6%
 
6187.9610.6%
 
7264.910.6%
 
16047.2110.6%
 
55542.0710.6%
 
Other values (168)16893.9%
 
ValueCountFrequency (%) 
1067.9410.6%
 
1198.8810.6%
 
1322.7210.6%
 
1450.8610.6%
 
1451.810.6%
 
ValueCountFrequency (%) 
68781.4310.6%
 
63139.4910.6%
 
58598.1710.6%
 
58031.5710.6%
 
55542.0710.6%
 

ttl_Data_last6mth
Real number (ℝ≥0)

Distinct178
Distinct (%)100.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean491615.1369
Minimum1712.4
Maximum7031645.78
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:21.055587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1712.4
5-th percentile7638.4595
Q121906.96
median43028.3
Q3402719.2575
95-th percentile2671788.343
Maximum7031645.78
Range7029933.38
Interquartile range (IQR)380812.2975

Descriptive statistics

Standard deviation1010219.936
Coefficient of variation (CV)2.054899982
Kurtosis12.97505033
Mean491615.1369
Median Absolute Deviation (MAD)28797.245
Skewness3.235905767
Sum87507494.36
Variance1.020544319e+12
MonotocityNot monotonic
2021-01-20T01:36:21.447445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
19648.5410.6%
 
719167.6610.6%
 
6233.0110.6%
 
10288.7710.6%
 
23417.1910.6%
 
16523.1410.6%
 
1288762.9510.6%
 
42460.0610.6%
 
99271.710.6%
 
793055.9810.6%
 
Other values (168)16893.9%
 
ValueCountFrequency (%) 
1712.410.6%
 
2264.7510.6%
 
2774.3710.6%
 
3804.5410.6%
 
4412.610.6%
 
ValueCountFrequency (%) 
7031645.7810.6%
 
471375910.6%
 
4563988.2510.6%
 
3698790.3410.6%
 
3355329.4910.6%
 

avg_Data_last6mth
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12284.67034
Minimum377.46
Maximum58882.16
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:21.889417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum377.46
5-th percentile1383.46
Q13914.2
median7123.5
Q316601.815
95-th percentile38335.629
Maximum58882.16
Range58504.7
Interquartile range (IQR)12687.615

Descriptive statistics

Standard deviation12272.69657
Coefficient of variation (CV)0.9990253084
Kurtosis2.498878936
Mean12284.67034
Median Absolute Deviation (MAD)3944.11
Skewness1.713735606
Sum2198955.99
Variance150619081.1
MonotocityNot monotonic
2021-01-20T01:36:22.264477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3902.4110.6%
 
8245.3410.6%
 
3179.3910.6%
 
7344.4210.6%
 
7952.310.6%
 
38112.3510.6%
 
41236.1710.6%
 
36262.6510.6%
 
12651.4410.6%
 
21852.5610.6%
 
Other values (169)16994.4%
 
ValueCountFrequency (%) 
377.4610.6%
 
634.0910.6%
 
735.4310.6%
 
856.210.6%
 
1038.8310.6%
 
ValueCountFrequency (%) 
58882.1610.6%
 
54117.7310.6%
 
53270.0410.6%
 
49101.6610.6%
 
48416.9910.6%
 

avg_online_days
Real number (ℝ≥0)

UNIQUE

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.48642797
Minimum11.0036187
Maximum16.06159477
Zeros0
Zeros (%)0.0%
Memory size1.4 KiB
2021-01-20T01:36:22.697575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11.0036187
5-th percentile11.23457152
Q111.81351909
median12.44995326
Q312.97033829
95-th percentile14.09849872
Maximum16.06159477
Range5.05797607
Interquartile range (IQR)1.1568192

Descriptive statistics

Standard deviation0.9569838625
Coefficient of variation (CV)0.07664192389
Kurtosis2.625048406
Mean12.48642797
Median Absolute Deviation (MAD)0.61944895
Skewness1.212285173
Sum2235.070607
Variance0.915818113
MonotocityNot monotonic
2021-01-20T01:36:23.135758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11.4388294610.6%
 
12.5643154510.6%
 
12.061822910.6%
 
15.7606169310.6%
 
13.3974369510.6%
 
11.4671011210.6%
 
12.6496860810.6%
 
12.5690233110.6%
 
13.0814314910.6%
 
12.6579916410.6%
 
Other values (169)16994.4%
 
ValueCountFrequency (%) 
11.003618710.6%
 
11.0166891810.6%
 
11.017544610.6%
 
11.0720741210.6%
 
11.0770847810.6%
 
ValueCountFrequency (%) 
16.0615947710.6%
 
15.9841301110.6%
 
15.9316289610.6%
 
15.7606169310.6%
 
15.1227572510.6%
 

churnid
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
169 
1
 
10
ValueCountFrequency (%) 
016994.4%
 
1105.6%
 
2021-01-20T01:36:23.401424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Interactions

2021-01-20T01:33:39.652811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:40.049421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:40.374177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:40.742720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:41.068514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:41.419762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:41.762599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:42.087662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:42.527941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:42.886821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:43.216832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:43.547784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:43.903237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:44.264624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:44.632853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:44.990796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:45.386237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:45.731391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:46.094315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:46.416484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:46.752828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:47.092846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:47.420597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:47.718338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:48.051546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:48.366285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:48.668698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:48.983794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:49.287308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:49.601879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:49.952585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:50.265441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:50.573971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:50.893126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:51.226356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:51.562296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:51.925256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:52.286551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:52.724272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:53.083755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:53.422820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:53.744226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:54.041608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:54.396082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:54.722557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:55.076097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:55.405883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:55.739512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:56.084872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:56.437078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:56.778278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:57.139981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:57.473101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:57.814960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:58.160513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:58.521999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:58.922173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:59.278066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:59.667408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:33:59.999839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:34:00.377287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:34:00.706070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:34:01.067716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2021-01-20T01:35:11.795094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:12.186298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:12.590352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:12.985832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:13.494775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:13.895511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:14.257825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:14.464102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:14.853690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:15.210481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:15.570043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:15.991333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:16.344189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:16.664810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:17.031137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:17.380356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:17.755003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:18.127325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:18.465060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:18.809209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:19.188474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:19.576162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:19.952055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:20.535020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:20.960319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:21.363066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:21.672963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:21.855003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:22.034446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:22.207110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:22.398930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:22.583623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:22.795275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:22.995247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:23.186698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:23.412066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:23.633197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:23.901042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:24.125832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:24.321239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:24.526263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:24.751742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:25.053746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:25.367550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:25.774273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:26.156250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:26.498601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:26.886164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:27.249545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:27.604990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:27.966043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:28.370907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:28.723763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:29.117925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:29.487060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:29.852530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:30.258025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:30.803281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:31.264520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:31.659636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:32.036191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:32.394102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:32.793753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:33.672633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:34.048113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:34.242625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:34.451491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:34.630052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:34.876530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:35.080710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:35.275344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:35.487505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:35.659789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:35.830903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:36.015971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:36.193026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:36.360387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:36.515614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:36.659485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:36.815215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:36.975457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:37.122540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:37.272731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:37.425825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:37.589370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:37.754258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:37.942801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:38.137701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:38.277115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:38.457555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:38.613718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:38.795307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:38.977751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:39.191695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:39.370914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:39.583610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:39.761500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:39.928001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:40.134635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:40.342994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:40.531737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:40.721807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:40.914885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:41.095756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:41.273883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:41.459824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:41.648217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:41.864278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:42.073124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:42.291269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:42.479729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:42.644511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:42.820519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:43.000603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:43.164220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:43.314940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:43.504772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:43.680379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:43.834198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:43.994105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:44.147344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:44.316528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:44.543717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:44.760082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:44.943658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:45.110360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:45.284544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:45.469213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:45.649692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:45.838428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:45.981861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:46.172170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:46.331395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:46.564121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:46.722118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:46.903211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:47.061776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:47.239972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:47.421293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:47.579067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:47.758394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:47.918083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:48.108449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:48.313080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:48.669128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:49.084211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:49.497950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:50.037400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:50.535704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:50.935819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:51.377373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:51.767795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:52.150141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:52.374974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:52.561230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:52.733718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:52.974364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:53.171936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:53.334110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:53.491852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:53.657478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:53.816229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:53.980396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:54.141199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:54.369196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:54.527548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:54.690465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:55.290984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:55.469647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:55.636352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:55.812584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:56.000345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:56.154373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:56.324238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:56.481719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:35:56.656961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2021-01-20T01:36:23.692401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-01-20T01:36:24.890142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-01-20T01:36:26.102629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-01-20T01:36:27.424022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-01-20T01:36:28.481233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-01-20T01:35:57.275490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:36:02.497959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:36:03.607586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-01-20T01:36:04.392129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

Cust_idAgeLocIDGenIDRaceIDPkgIDCusCare_flagNum_calls_CuscareBillCycle_IDMean_Mthly_PaidTotal_BillsNum_of_paymentsTimely_full_paymentsDelayed_Partial_PaymentsTotal_Paid_last6mthMean_Mthly_Paid_last6mthTotal_Bills_last6mthNum_Payments_last6mthTimely_Full_Payments_last6mthDelayed_Partial_Payments_last6mthttl_Dataavg_Datattl_Data_last6mthavg_Data_last6mthavg_online_dayschurnid
0135.0238.012227.0No06.089.072222184500.7583.466660138033.107264.90826856.477253.1313.3440520
1227.0242.02289.0No06.075.1528281018400.0066.676660112647.365928.8138263.826377.3012.8873550
2321.0242.01146.0No08.085.57151596502.0083.674440263550.6820273.13115426.8619237.8112.3454850
3458.0233.011227.0No06.0102.56111192558.9093.155550192596.8714815.141081668.3513867.5412.6496860
4543.0231.011227.0No09.0102.50111165564.0094.006642254325.8423120.531418866.2821497.9712.6339700
5652.0242.012222.0No02.0174.0166421044.03174.016642127831.1525566.23491679.0219667.1613.4366300
6749.0231.011227.0No09.0102.85131367660.00110.007734260268.6921689.061543001.7321430.5812.1448560
7873.0231.0216.0No04.079.562121165418.5069.755550345424.7115701.12172961.1828826.8612.8639050
8931.0237.01243.0No04.081.122222175498.7083.127761212347.8010617.3988819.6814803.2812.6790860
91030.0238.021227.0No09.0100.71121266560.7593.465541143852.4314385.241012437.0816873.9513.0659600

Last rows

Cust_idAgeLocIDGenIDRaceIDPkgIDCusCare_flagNum_calls_CuscareBillCycle_IDMean_Mthly_PaidTotal_BillsNum_of_paymentsTimely_full_paymentsDelayed_Partial_PaymentsTotal_Paid_last6mthMean_Mthly_Paid_last6mthTotal_Bills_last6mthNum_Payments_last6mthTimely_Full_Payments_last6mthDelayed_Partial_Payments_last6mthttl_Dataavg_Datattl_Data_last6mthavg_Data_last6mthavg_online_dayschurnid
16917043.0234.0219.0No04.063.88161688417.4569.587743NaN4863.09NaN3902.4111.1274970
17017164.0242.0247.0No05.0107.142424177623.50103.926651166583.256940.9740679.986780.0012.6632900
17117238.0242.021168.0No08.061.025541244.0861.0255415065.091688.362774.371387.1812.1197700
17217329.0232.0129.0No03.0148.58121293812.50135.425550131080.4711916.4175908.6412651.4413.2525100
17317433.0234.012227.0No02.0114.754431459.00114.75443175184.9125061.64163757.7418195.3011.0166890
17417548.0242.021216.0No07.0128.91111183580.0096.67555063906.457100.7251337.898556.3212.9512100
17517647.0244.011227.0No06.0116.199972660.45110.087770159077.6922725.38833328.3119841.1512.1835790
17617733.0232.011227.0No05.0100.081717413566.0094.334440281386.1425580.561288762.9519526.7112.8609690
17717820.0240.024197.0No010.069.855532279.3869.85553222270.127423.3712100.296050.1512.7097510
17817947.0238.0225.0No04.052.282727243305.4050.90554197336.233476.2923700.203950.0311.1827450